BIG DATA ANALYTICS

This Big Data Analytics course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible — increasing the potential for data to transform our world!

BIG DATA ANALYTICS TRAINING LEARNING OUTCOME

Individuals certified at this level will have demonstrated knowledge of:

• Describe the Big Data landscape including examples of real-world big data problems including the three key sources of Big Data: people, organizations, and sensors.
• Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting.
• Get value out of Big Data by using a 5-step process to structure your analysis.
• Identify what are and what are not big data problems and be able to recast big data problems as data science questions.
• Provide an explanation of the architectural components and programming models used for scalable big data analysis.
• Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the Map Reduce programming model.
• Install and run a program using Hadoop!
• Big Data analytics has been transforming industry and science in various domains for the past few years, making possible the processing of Terabytes of data on a daily basis. This was enabled by the joint evolution of programming models and computing infrastructures.

PERSONAL IMPACT

• Students will gain knowledge on analyzing Big Data. It serves as an introductory course for graduate students who are expecting to face Big Data storage, processing, analysis, visualization, and application issues on both workplaces and research environments.
• Gain knowledge on this fast-changing technological direction. Big Data Analytics is probably the fastest evolving issue in the IT world now. New tools and algorithms are being created and adopted swiftly. Get insight on what tools, algorithms, and platforms to use on which types of real world use cases.
• Get hands-on experience on Analytics, Mobile, Social and Security issues on Big Data through homeworks and final project
• Final Project Reports will be published as Proceedings and Final Project Software will become Open Source

ORGANIZATIONAL IMPACT

• Big data analytics enables organizations to reduce cost and improve product pricing.
• It enables the organization to save a great amount of time using big data tools, leading to increased efficiency.
• The initiation of big data analytics tools enables the organization to gain a competitive edge
• Big data analytics allows organizations to effectively focus on the local preferences in their immediate environment.

JK Michaels institute also offers other products and courses, including MASTER CERTIFICATE IN IT MANAGEMENT, CISSP COURSE, ITIL FOUNDATION TRAINING, and MASTER CERTIFICATE IN ENTERPRISE RISK MANAGEMENT.